Triple

T18049286
Position Surface form Disambiguated ID Type / Status
Subject Their Greatest Hits: The Record E431884 entity
Predicate hasPart P35 FINISHED
Object Run to Me NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Run to Me | Statement: [Their Greatest Hits: The Record, hasPart, Run to Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Run to Me
Context triple: [Their Greatest Hits: The Record, hasPart, Run to Me]
  • A. Run to Me chosen
    "Run to Me" is a 1972 soft rock ballad by the Bee Gees, known for its lush harmonies and heartfelt lyrics.
  • B. I Run to You
    "I Run to You" is a hit country song by American group Lady A that blends themes of love and refuge with a polished, contemporary country-pop sound.
  • C. Run With Me
    "Run With Me" is a track from Juvenile's influential late-1990s Southern hip hop album *400 Degreez*.
  • D. Run to You
    "Run to You" is a 1984 rock song by Canadian singer-songwriter Bryan Adams, known for its driving guitar riff and status as one of his signature hits.
  • E. Run to You
    "Run to You" is a 1993 power ballad by Whitney Houston, known for its emotional vocal performance and inclusion on The Bodyguard film soundtrack.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff4a6e08190a5ca8d191aa7f0ae completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.